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Graph Neural Networks: Merging Deep Learning With Graphs (Part I)

Dataiku

Recently, Graph Neural Networks (GNNs) have received a lot of attention. From marketing to social science to biology, they have been widely promoted as the new way of learning “smartly” from data.

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8 AI trends we’re watching in 2020

O'Reilly on Data

In fact, in our 2019 surveys, more than half of the respondents said AI (deep learning, specifically) will be part of their future projects and products—and a majority of companies are starting to adopt machine learning. To stay competitive, data scientists need to at least dabble in machine and deep learning.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Linear algebra is the study of linear equations and graphs of linear equations. In data science, use linear algebra for understanding the statistical graphs. Visual graphs are the core of descriptive statistics. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models.